Licensing and copyright

Copyright (c) 2017, University College London.
NiftyNet is released under the Apache License, Version 2.0.
Please see the LICENSE file in the NiftyNet source code repository for details.

Acknowledgements

This project was supported through an Innovative Engineering for Health award by the Wellcome Trust and EPSRC (WT101957, NS/A000027/1), the National Institute for Health Research University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative), UCL EPSRC CDT Scholarship Award (EP/L016478/1), a UCL Overseas Research Scholarship, a UCL Graduate Research Scholarship, and the Health Innovation Challenge Fund by the Department of Health and Wellcome Trust (HICF-T4-275, WT 97914).
The authors would like to acknowledge that the work presented here made use of Emerald, a GPU-accelerated High Performance Computer, made available by the Science & Engineering South Consortium operated in partnership with the STFC Rutherford-Appleton Laboratory.